Francesco Longo graduated in Computer Engineering (Master's Degree) in July 2018 at the Politecnico di Torino with a thesis entitled “Advanced data management on Distributed Ledgers: design and implementation of a Telegram BOT as a front end for a IOTA cryptocurrency wallet”, carried out within ISMB. Thanks to the skills acquired during his thesis experience, he was part of the selected Institute’s team to participate in the EU Blockathon in Brussels (June 2018) organized by EUIPO provding a solution to fight counterfeited goods.

From October 2014 to January 2015, he did a curricular internship (Bachelor's Degree) at the “Teoresi Group” consulting company (Torino) as Android mobile developer working on a section of an application for a regional project (PIE_VERDE) with custom graphics using canvas. He did another extracurricular internship within the same company (July 2016 - October 2016) as an Android developer in the Automotive sector working on two applications commissioned by Magnetti Marelli.

During the Master's Degree, he won a scholarship from March 2017 to October 2018 within the LADISPE, experimental laboratory inside Politecnico di Torino, as a web python developer using the Django framework.

Since October 2018 he is researcher within the Pervasive Technologies Area, where he deals with the issues of IT security and authentication related to IoT devices and possible applications of Distribute Ledger Technologies. He works also on the GOEASY project, which provides a new generation of trusted and dependable mass-market Location Based Services and Applications to engage, stimulate and reward citizens for more sustainable behaviors and healthier choices. In particular, he deals with infrastructure for device e-security and trust and Multi-service federation of IoT, Smart City and Collective Awareness Platforms.

Francesco learned how to develop mobile applications for iOS devices as a hobby by following a course at Stanford University available on iTunes U in Objective-C and publishing three paid applications on the AppStore. He attended a basic application development course to learn Swift. In his free time, he developed several Telegram bots using npm modules with nodeJS, including a home weather station that allows real-time reception of temperature / pressure / humidity from four Ruuvitag sensors scattered around the house that communicate with a Raspberry and send data through Telegram.